Sensor Interfacing and Signal Conditioning for Embedded Systems
Course provided by Model Institute of Engineering & Technology
4 modules
Explore the fundamentals of Cyber Physical Systems
4.5 Level NCrF
National Credit Framework
30 Hours
Flexible Learning
Beginner Level
No prior experience required
Nano Credit Course
01 Credit
Course Overview
This course equips students with practical skills in real-world sensor integration through immersive, hands-on lab work. Learners will gain experience in applying signal conditioning techniques, writing embedded code for sensor-driven systems, and performing oscilloscope-based debugging to analyze and optimize performance. By combining theory with applied practice, the course prepares students to design, test, and troubleshoot sensor-enabled applications effectively.
Key Learning Highlights
- Hands-on integration of real-world sensors with embedded systems.
- Application of signal conditioning techniques for accurate data acquisition.
- Development of embedded code to interface with various sensors.
- Oscilloscope-based debugging to test, analyze, and optimize sensor outputs.
- Practical troubleshooting of sensor-driven applications in lab settings.
Tools & Platform Used
Learning Outcome
At the end of the course, students will be able to:
Explain the operating principles of thermal, rotary, and flow sensors.
Interface analog sensors with microcontrollers through appropriate circuit design.
Apply signal conditioning techniques using amplifiers and filters for reliable data acquisition.
Analyze sensor signal noise and implement effective noise reduction strategies.
Integrate and test sensors in embedded platforms using C programming and measurement tools.
Master the course with just 4 Modules
The course begins with an introduction to commonly used sensors in embedded systems, including thermal, rotary, and flow sensors, along with their applications. Students will then explore analog signal interfaces, covering ADCs, DACs, multiplexers, and amplifier basics, with practical microcontroller integration using development kits. The course further delves into the theory, selection, and interfacing of thermal and rotary sensors, highlighting sensor specifications and application circuits. Finally, learners will gain hands-on experience in signal conditioning and noise mitigation through amplifiers, filtering techniques, and circuit design strategies for reliable sensor performance.
Introduction to Sensor Types and Applications
Overview of common sensors: thermistors, RTDs, thermocouples, encoders, and flow meters.
Understanding sensor roles in embedded systems.
Applications of sensors across industrial and consumer domains.
Analog Signal Interfaces and Microcontroller Integration
Basics of ADC, DAC, and multiplexers for sensor data handling.
Amplifier fundamentals for signal adaptation.
Mapping and assigning internal resources in development kits.
Thermal and Rotary Sensor Theory
Selection and specification of thermal and rotary sensors.
Characteristics and performance factors in sensor design.
Practical interfacing and application circuits for embedded use.
Signal Conditioning and Noise Mitigation
Inverting, differential, and instrumentation amplifier configurations.
Identifying and minimizing noise sources in sensor systems.
Filtering techniques for clean and accurate signal acquisition.
Roles
- Embedded Systems Engineer
- Hardware Design Engineer
- IoT Developer
- Test & Validation Engineer
- Application Engineer (Sensors & Instrumentation)
- R&D Engineer
- Control Systems Engineer